Structural representation proximity matrices matlab (9 résultats)
Edité par Society for Industrial & Applied
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Ajouter au panierpaperback. Etat : Good. Ex-library copy with usual markings. Cover has light creasing.
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Edité par Society for Industrial and Applied Mathematics, 2006
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Edité par Society for Industrial and Applied Mathematics (SIAM), 2006
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PAP. Etat : New. New Book. Shipped from UK. Established seller since 2000.
Langue : anglais
Edité par Society for Industrial and Applied Mathematics, 2006
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Etat : New. 2006. paperback. . . . . .
Langue : anglais
Edité par Society for Industrial and Applied Mathematics,U.S., US, 2006
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Paperback. Etat : New. The Structural Representation of Proximity Matrices with MATLAB presents and demonstrates the use of functions (by way of M-files) within a MATLAB computational environment to effect a variety of structural representations for the proximity information that is assumed to be available on a set of objects. T…he representations included in the book have been developed primarily in the behavioral sciences and applied statistical literature (e.g., in psychometrics and classification), although interest in these topics now extends more widely to such fields as bioinformatics and chemometrics.Throughout the book, two kinds of proximity information are analyzed: one-mode and two-mode. One-mode proximity data are defined between the objects from a single set and are usually given in the form of a square symmetric matrix; two-mode proximity data are defined between the objects from two distinct sets and are given in the form of a rectangular matrix. In addition, there is typically the flexibility to allow the additive fitting of multiple structures to either the given one- or two-mode proximity information.This book is divided into three main sections, each based on the general class of representations being discussed. Part I develops linear and circular unidimensional and multidimensional scaling using the city-block metric as the major representational device. Part II discusses characterizations based on various graph-theoretic tree structures, specifically those referred to as ultrametrics and additive trees. Part III uses representations defined solely by order properties, particularly emphasizing what are called (strongly) anti-Robinson forms.
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Paperback. Etat : Brand New. new title edition. 214 pages. 9.75x7.00x0.50 inches. In Stock.
Langue : anglais
Edité par Society for Industrial and Applied Mathematics, 2006
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Etat : New. 2006. paperback. . . . . . Books ship from the US and Ireland.
Langue : anglais
Edité par Society for Industrial & Applied Mathematics,U.S., 2006
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Paperback. Etat : New. New copy - Usually dispatched within 4 working days.
Langue : anglais
Edité par Society for Industrial and Applied Mathematics,U.S., US, 2006
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Vendeur : Rarewaves.com UK, London, Royaume-UniRarewaves.com UK
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Paperback. Etat : New. The Structural Representation of Proximity Matrices with MATLAB presents and demonstrates the use of functions (by way of M-files) within a MATLAB computational environment to effect a variety of structural representations for the proximity information that is assumed to be available on a set of objects. T…he representations included in the book have been developed primarily in the behavioral sciences and applied statistical literature (e.g., in psychometrics and classification), although interest in these topics now extends more widely to such fields as bioinformatics and chemometrics.Throughout the book, two kinds of proximity information are analyzed: one-mode and two-mode. One-mode proximity data are defined between the objects from a single set and are usually given in the form of a square symmetric matrix; two-mode proximity data are defined between the objects from two distinct sets and are given in the form of a rectangular matrix. In addition, there is typically the flexibility to allow the additive fitting of multiple structures to either the given one- or two-mode proximity information.This book is divided into three main sections, each based on the general class of representations being discussed. Part I develops linear and circular unidimensional and multidimensional scaling using the city-block metric as the major representational device. Part II discusses characterizations based on various graph-theoretic tree structures, specifically those referred to as ultrametrics and additive trees. Part III uses representations defined solely by order properties, particularly emphasizing what are called (strongly) anti-Robinson forms.
